Iris.ai vs Connected Papers
A detailed comparison to help you choose between Iris.ai and Connected Papers.
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Verdict: Connected Papers wins
Connected Papers scores 4.2/5, edging out Iris.ai at 3.6/5. Researchers at any level who want to map the literature around a known paper before committing reading time — from supervisors skimming a field to doctoral students building a reading list.
Iris.ai AI workspace for research and innovation | Connected Papers Visual academic paper network explorer | |
|---|---|---|
| Rating | 3.6 (1 review) | 4.2 (1 review) |
| Pricing Model | paid | freemium |
| Starting Price | From $200/mo | Free tier available |
| Best For | Enterprise R&D and innovation teams in life sciences, manufacturing, energy or telecom that need traceable AI over internal and published technical text and have an implementation budget. | Researchers at any level who want to map the literature around a known paper before committing reading time — from supervisors skimming a field to doctoral students building a reading list. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | team features | free tier |
| Visit Iris.ai → | Visit Connected Papers → |
Iris.ai
Pros
- + Ten years of operating history (founded 2015 in Norway) with named customers in exactly its target verticals — Syngenta, USDA, Standard Industries on the site at time of writing
- + Control-and-provenance framing — restricted source access plus traced answer paths — matches what regulated R&D teams actually need
- + Real product lineage: the Researcher Workspace releases (2022–2023) show working topic mapping, screening and extraction, not a fresh wrapper on a model API
- + Institutional funding including European Innovation Council backing and a €7.6M Series A reduces the vendor-risk profile versus younger AI startups
- + Engineering blog and published release history are substantive, which is a better durability signal than most AI vendors offer
Cons
- - No free tier, no self-serve trial and no published prices — iris.ai/pricing served marketing content when I fetched it, so evaluation starts at a sales call
- - Third-party pricing claims conflict ($70–$279/user/month in aggregators versus $200 in my source data); none are vendor-confirmed and I could not verify any
- - The vendor claim 'the result holds every time' overstates what AI systems do; insist on benchmarking against your own corpus before signing
- - Third-party sources describe onboarding as requiring data-engineering scoping (ERP, SharePoint, document management) — this is a project, not a sign-up
- - Public product surface has contracted behind the demo wall, so an independent evaluator cannot verify output quality before engaging sales
Connected Papers
Pros
- + Co-citation and bibliographic coupling surfaced conceptually adjacent papers that plain citation tracing missed in my field-mapping runs
- + Five full graphs per month free with every feature included and no account required to start
- + Academic plan at $6/month (at time of writing) with unlimited graphs is among the cheapest paid upgrades in academic software
- + Prior Works and Derivative Works views gave me the field's foundations and its current frontier in two clicks
- + Scholarship program exists for researchers who cannot pay — email the team for a discounted or free plan
Cons
- - Five free graphs disappears in one review afternoon; the free tier is a demo with monthly resets for active researchers
- - Graphs seeded from very recent papers are sparse — co-citation signal needs time and citations to accumulate
- - Shows relatedness only: no summaries, no quality judgment, and no reproducible search for PRISMA-style reviews
- - Coverage inherits Semantic Scholar's gaps — humanities, law, non-English and grey literature are thin or absent
- - No alerts for new matching papers, no API, no app, and BibTeX download as the only export
Frequently Asked Questions
Which is better, Iris.ai or Connected Papers?▼
Connected Papers scores higher at 4.2/5 vs 3.6/5 for Iris.ai, making it the better-rated option in our comparison.
What is the difference between Iris.ai and Connected Papers?▼
Iris.ai: Iris.ai is a research AI platform for technical and scientific teams, controlling which sources a model reads and tracing how it reaches an answer. Connected Papers: Connected Papers builds a visual graph of papers related to one you already have, to find prior and derivative work in a field.
Is Iris.ai or Connected Papers more affordable?▼
Iris.ai starts at €200/mo, Connected Papers starts at €0/mo. Check the comparison table above for current pricing.
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